Elke Warmerdam

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Pre-Processing Inertial Measurement Unit-based Data for Process Mining using Convolutional Neural Networks. Wirtschaftsinformatik Daniel Pollee, Milda Aleknonyte-Resch, Dominik Janssen, Clint Hansen, Elke Warmerdam, Walter Maetzler, Agnes Koschmider
2024	J	`jnl`	The walking surface influences vertical ground reaction force and centre of pressure data obtained with pressure-sensing insoles. Frontiers Digit. Health Elke Warmerdam, Lea-Marie Burger, Diana F. Mergen, Marcel Orth, Tim Pohlemann, Bergita Ganse
2022	J	`jnl`	A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts. Sensors Robbin Romijnders, Elke Warmerdam, Clint Hansen, Gerhard Schmidt, Walter Maetzler
2022	J	`jnl`	Full-Body Mobility Data to Validate Inertial Measurement Unit Algorithms in Healthy and Neurological Cohorts. Data Elke Warmerdam, Clint Hansen, Robbin Romijnders, Markus Hobert, Julius Welzel, Walter Maetzler
2022	J	`jnl`	Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases. Sensors Clint Hansen, Christian Ortlieb, Robbin Romijnders, Elke Warmerdam, Julius Welzel, Johanna Geritz, Walter Maetzler
2022	J	`jnl`	Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor. Sensors Frédéric Marin, Elke Warmerdam, Zoé Marin, Khalil Ben-Mansour, Walter Maetzler, Clint Hansen
2021	J	`jnl`	Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol. Sensors Elke Warmerdam, Robbin Romijnders, Johanna Geritz, Morad Elshehabi, Corina Maetzler, Jan Carl Otto, Maren Reimer, Klarissa Stuerner, Ralf Baron, Steffen Paschen, Thorben Beyer, Denise Dopcke, Tobias Eiken, Hendrik Ortmann, Falko Peters, Felix von der Recke, Moritz Riesen, Gothia Rohwedder, Anna Schaade, Maike Schumacher, Anton Sondermann, Walter Maetzler, Clint Hansen
2021	J	`jnl`	Step Length Is a Promising Progression Marker in Parkinson's Disease. Sensors Julius Welzel, David Wendtland, Elke Warmerdam, Robbin Romijnders, Morad Elshehabi, Johanna Geritz, Daniela Berg, Clint Hansen, Walter Maetzler
2020	J	`jnl`	Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation. Sensors Elke Warmerdam, Robbin Romijnders, Julius Welzel, Clint Hansen, Gerhard Schmidt, Walter Maetzler
2020	J	`jnl`	Wearable Health Technology to Quantify the Functional Impact of Peripheral Neuropathy on Mobility in Parkinson's Disease: A Systematic Review. Sensors Marta Francisca Corrà, Elke Warmerdam, Nuno Vila-Chã, Walter Maetzler, Luís Maia
2018	—	`conf`	Automatic Classification of Strike Techniques Using Limb Trajectory Data. MLSA@PKDD/ECML Kasper M. W. Soekarjo, Dominic Orth, Elke Warmerdam, John van der Kamp

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.